Data-Oriented Method to Big Data Standard System Creation: A Case of Chinese Financial Industry

Even though Big Data is a hot technology in the ICT industry with a large effect on economy and society, Big Data is a relatively indefinite concept, like a “laundry list”,compared with cloud computing and Internet of things. Fortunately, there is a consensus that Big Data standardization can promote the exchange and scoping of data, guarantee the data completeness and timeliness, ensure the quality of further analysis, eliminate information islands and improve the industry efficiency. However, the existed methods to Big Data standard system are all technology-oriented. This paper proposes an integrated method, called data-oriented method, which combines bottom–up, top–down, method of expertise with investigation together, to build Big Data standard system based on the data essence in the special field. This approach makes the system get rid of pure technique thinking and adapt more to practical condition. Meanwhile, this research also gives a case study on Chinese financial industry in practice. According to that this data-oriented method sets a close and accurate links between special data and standard system, it can be applied on the construction of Big Data standard system in other fields with improving the system model and laying a good foundation for Big Data applications and creations.